About the Journal

Aims and Scope

The Journal of Vibration Testing and System Dynamics (JVTSD) publishes original research, reviews, perspectives, and methodological advances in the modeling, analysis, identification, prediction, and control of dynamical systems.

Under the theme “Dynamics, Data and Intelligent Systems,” JVTSD reflects the accelerating convergence of classical system dynamics with data-driven modeling, scientific machine learning, intelligent computation, and modern experimental methods. As dynamical systems grow more complex—spanning multiscale physics, networked infrastructure, and human-in-the-loop autonomy—the journal aims to be a home for work that advances fundamental understanding, introduces new computational or data-driven methodologies, or demonstrates innovative, transferable applications across engineering and the physical sciences.

Topics of Interest

Topics of interest include, but are not limited to:

  • Nonlinear and complex dynamics: nonlinear oscillations, bifurcation, chaos, synchronization, coupled systems, complex networks, multiscale dynamics, and stability analysis.
  • Data-driven dynamics and system identification: equation discovery, sparse and interpretable modeling, state-space identification, reduced-order modeling, Koopman and operator-theoretic methods, and learning from experimental or observational data.
  • Scientific machine learning and intelligent dynamical systems: physics-informed and physics-guided learning, neural differential equations, operator learning, hybrid physics–ML models, foundation and world models for physical systems, and interpretable AI for dynamics.
  • Dynamics, prediction, and control: model-based and data-driven control, optimal and predictive control, reinforcement learning for dynamical systems, estimation, uncertainty quantification, digital twins, and real-time decision-making.
  • Computational and numerical dynamics: numerical methods for ODEs, PDEs, stochastic and delay differential equations; high-dimensional systems; model reduction; uncertainty propagation; and scalable simulation.
  • Experimental dynamics and vibration testing: structural and mechanical vibrations, modal analysis, sensing, signal processing, experimental system identification, condition monitoring, structural health monitoring, and validation of computational or data-driven models.
  • Applications of dynamical systems: aerospace, mechanical, civil, energy, robotics, fluid and thermal systems, materials, transportation, and biological and neural systems, among other domains where dynamical-systems methodology is central.

JVTSD particularly welcomes work that bridges theory, computation, data, and experiment, and that delivers interpretable, reproducible, and generalizable advances and insights that extend beyond narrowly application-specific case studies to inform the broader dynamics and intelligent-systems community.